Instructions to use HanClinto/CollectorVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- CollectorVision
How to use HanClinto/CollectorVision with CollectorVision:
pip install git+https://github.com/HanClinto/CollectorVision huggingface_hub
from huggingface_hub import hf_hub_download import collector_vision as cvg checkpoint = hf_hub_download(repo_id="HanClinto/CollectorVision", filename="model.onnx") # Detector models, such as Cornelius: detector = cvg.NeuralCornerDetector(checkpoint) # Embedder models, such as Milo: embedder = cvg.NeuralEmbedder(checkpoint)
- Notebooks
- Google Colab
- Kaggle
| { | |
| "schema_version": 1, | |
| "channels": { | |
| "stable": { | |
| "cornelius": "cornelius-2.12", | |
| "fastweb-single": "fastweb-single-1.39", | |
| "milo": "milo-1.0.0" | |
| }, | |
| "testing": { | |
| "cornelius": "cornelius-2.12", | |
| "milo": "milo-1.0.0", | |
| "fastweb-single": "fastweb-single-1.39" | |
| } | |
| }, | |
| "models": { | |
| "cornelius-2.12": { | |
| "family": "cornelius", | |
| "version": "2.12", | |
| "task": "corner-detection", | |
| "architecture": "mobilevit-xxs-global-token-simcc", | |
| "input_size": 384, | |
| "repository": "HanClinto/cornelius", | |
| "revision": "9280009f5a66f75f952820d9dadb894909b759b7", | |
| "filename": "cornelius-2.12.onnx", | |
| "sha256": "650da3cc3e9ac778c6951de631f824ec1e63bdabf3aaa39a35d7435af625612e", | |
| "size_bytes": 4407545, | |
| "metrics": { | |
| "normal_test_iou": 0.968911, | |
| "normal_test_collapse": 18, | |
| "rotation_stress_mean_iou": 0.970411, | |
| "rotation_stress_p10_iou": 0.954621, | |
| "rotation_stress_bad_lt_0_5": 0, | |
| "rotation_stress_collapse": 0 | |
| } | |
| }, | |
| "milo-1.0.0": { | |
| "family": "milo", | |
| "version": "1.0.0", | |
| "task": "card-embedding", | |
| "architecture": "mobilevit-xxs-arcface", | |
| "input_size": 448, | |
| "repository": "HanClinto/milo", | |
| "revision": "9bcc5e809e936b8c5630d1e7101aae1de1e76621", | |
| "filename": "model.onnx", | |
| "sha256": "bd13d8d60383c69da04dce261f32e93fdaeaa8fd618fbc991e7385f71b3d45df", | |
| "size_bytes": 5191100 | |
| }, | |
| "fastweb-single-0.1.0": { | |
| "family": "fastweb-single", | |
| "version": "0.1.0", | |
| "channel": "testing", | |
| "codename": "corndog", | |
| "codename_version": "2.12", | |
| "task": "corner-detection", | |
| "architecture": "efficientvit-b0-global-token-simcc", | |
| "input_size": 384, | |
| "repository": "HanClinto/ccgdetector-fastweb-single", | |
| "revision": "13e1eb8c3b1afa1bc201e8619cf274e21a904a49", | |
| "filename": "fastweb-single-0.1.0.onnx", | |
| "sha256": "8acb8faba8df92cb6897c07119e68a5d6459b0fa26736e9aab547445230e7ee7", | |
| "size_bytes": 3197383 | |
| }, | |
| "fastweb-single-1.39": { | |
| "family": "fastweb-single", | |
| "version": "1.39", | |
| "channel": "stable+testing", | |
| "codename": "corndog", | |
| "codename_version": "1.39", | |
| "task": "corner-detection", | |
| "architecture": "efficientvit-b0-global-token-simcc", | |
| "input_size": 384, | |
| "repository": "HanClinto/ccgdetector-fastweb-single", | |
| "revision": "898600883a02a90c51f0085f25fdecae0a6c48bf", | |
| "filename": "fastweb-single-1.39.onnx", | |
| "sha256": "05d2b90b928a5a3bf0f49aa90aa86211b2103d9c347c238fd18b4f544b3cb8ca", | |
| "size_bytes": 3185226, | |
| "metrics": { | |
| "normal_test_iou": 0.968839, | |
| "normal_test_collapse": 13, | |
| "rotation_stress_mean_iou": 0.974255, | |
| "rotation_stress_p10_iou": 0.960757, | |
| "rotation_stress_bad_lt_0_5": 1, | |
| "rotation_stress_collapse": 0 | |
| } | |
| } | |
| } | |
| } | |